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Top 10 AI Tools Agribusiness Leaders Should Be Exploring

by Melanie Wilt

We asked ChatGPT to list the Top 10 Artificial Intelligence (AI) tools agribusiness leaders should consider exploring, and here’s what it said (well, in concept. We still had to edit it!):

As AI continues to shape the future of food and farming, agribusiness leaders have a growing menu of tools at their fingertips. From the field to the boardroom, these platforms are helping professionals make faster decisions, reduce waste and stay competitive in a data-driven world.

Here are 10 of the most promising AI-powered tools agribusiness leaders should consider testing or integrating:

  1. Climate FieldView – climate.com

Purpose: Precision agriculture & field data analytics
Why Try It: Uses AI to analyze real-time field data, offering actionable insights on planting, application and harvest decisions.

  1. John Deere Operations Center – operationscenter.deere.com

Purpose: Equipment optimization & decision support
Why Try It: Integrates data from John Deere machinery with AI to improve planting, tilling and harvesting performance.

  1. Granular – granular.ag

Purpose: Farm management software
Why Try It: Owned by Corteva Agriscience, Granular uses machine learning to enhance financial planning, field benchmarking and input ROI tracking.

  1. IBM Watson Decision Platform for Agriculture – ibm.com

Purpose: Predictive insights & risk mitigation
Why Try It: Combines satellite imagery, weather, IoT, and AI for detailed crop forecasting and disease modeling.

  1. Taranis – taranis.ag

Purpose: Aerial crop scouting
Why Try It: Uses drone and satellite imagery with AI to detect early-stage threats (weeds, disease, pests) down to the leaf level.

  1. OneSoil – onesoil.ai

Purpose: Variable rate farming & field zoning
Why Try It: A free tool using AI and satellite data to offer real-time, precision field maps and fertilizer recommendations.

  1. Agremo – agremo.com

Purpose: Crop analytics from drone imagery
Why Try It: Great for trials and research, Agremo helps agronomists and researchers evaluate plant health, emergence and stand counts with AI-powered reports.

  1. Farmwave – farmwave.io

Purpose: Harvest loss detection
Why Try It: Uses machine vision and AI to calculate real-time harvest loss during combine operations, without stopping the machine.

  1. ChatGPT Enterprise (OpenAI) – openai.com/chatgpt

Purpose: Business support, communication and content creation
Why Try It: AI can streamline policy research, generate reports, write communications and assist in regulatory analysis and grant proposals.

  1. Plantix – plantix.net

Purpose: Plant disease detection
Why Try It: Designed for farmers and agronomists, this mobile app uses AI image recognition to diagnose crop issues instantly and recommend treatment.

Pro Tip for Leaders
Start with a pilot. Test one or two tools in a low-risk area and evaluate ROI before scaling up. Involve your team in testing and feedback to build trust in the technology.

Related: Leading with Integrity in the Age of Artificial Intelligence

 

Melanie Wilt, APR is the founder and CEO of Shift•ology Communication. She has spent her career helping brands connect with their audiences through purposeful, impactful communication. Learn more about Melanie.